Nearly 75% of UK Underwriters Cite Poor Data as the Biggest Barrier to AI Transformation, According to CI&T & Reuters Report
MWN-AI** Summary
A recent report by CI&T, in collaboration with Reuters, has revealed that approximately 75% of UK underwriters attribute poor data quality as the primary barrier hindering AI transformation in the insurance sector. The study, titled "Strategising for the AI Insurance Revolution," emphasizes that data fragmentation, unstructured formats, and siloed systems pose greater challenges than technology itself, affecting the efficiency and accuracy of underwriting and pricing processes.
The report surveyed industry leaders and examined real-world case studies, uncovering critical insights into the insurance landscape. For instance, while many focus on technological capabilities, it became clear that the lack of high-quality data impedes innovation. Only 15% of claims leaders believe that enhancing customer personalization significantly boosts satisfaction, while a majority prioritize optimizing internal processes and combining digital interactions with human touchpoints.
Furthermore, 60% of claims leaders recognize that AI efficiency will be essential for managing rising claims costs and premiums. Insurers are cautiously testing Generative AI in sandbox environments to address risks like bias and data privacy concerns before full-scale implementation.
The partnership between CI&T and major insurers showcases the tangible benefits of modernizing data practices. For example, Mitsui Sumitomo saved £800,000 annually and reduced quotation times by 54% through enhanced data strategies. The report conveys that the success of AI in insurance is not merely a function of the algorithms used, but rather hinges on the accessibility and quality of data.
Mike Young, VP of Insurance Industry Growth at CI&T, emphasizes that UK insurers are eager to innovate but must prioritize improving their data infrastructures to realize AI's full potential.
MWN-AI** Analysis
The recent CI&T & Reuters report highlights a critical finding for the UK insurance sector: nearly 75% of underwriters identify poor data quality as the foremost barrier to AI transformation. This insight underscores a pressing need for insurers to address foundational data issues before they can fully leverage AI technologies for underwriting and pricing.
Investors should pay close attention to this dynamic, as firms that prioritize data integrity stand to gain a significant competitive advantage in the evolving insurance landscape. Companies that can enhance data quality through modernization of legacy systems and integration of AI-driven analytics are likely to boost efficiency and reduce operational costs. The report illustrates that structured, high-quality data is essential for accurate risk assessment and pricing, making it a pivotal area for strategic investment.
Moreover, the preference for prioritizing efficiency over personalization among claims leaders signifies a market trend toward streamlining internal processes. This points to a potential shift in investment strategies, where funds may flow into technologies that enhance operational efficiencies rather than solely focus on customer experience personalization.
The cautious approach to Generative AI adoption through sandbox testing indicates a prudent market behavior aimed at mitigating risks associated with new technologies. Investors should look for insurers that are navigating this cautious landscape effectively, building robust governance frameworks while simultaneously fostering innovation.
In conclusion, the UK's insurance sector is at a crossroads where the quality of data will largely dictate the success of AI integration efforts. Firms that recognize this challenge and invest in data infrastructure are well-positioned to navigate rising claim costs and improve customer satisfaction through streamlined operations. For investors, identifying such firms could lead to considerable returns as they harness AI’s transformative potential.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
CI&T (NYSE: CINT), a global AI and tech acceleration partner, has released new research highlighting the AI opportunity in the UK. The report, created in collaboration with Reuters, exclusively reveals that poor data quality, rather than technology limitations, is the number one obstacle preventing UK underwriters from accelerating AI adoption.
The report, Strategising for the AI Insurance Revolution , draws on original UK survey data and real-world case studies. It aims to uncover how insurers are tackling the AI opportunity, and what’s holding them back. While much of the market discussion focuses on technology capabilities, the findings show that data fragmentation, unstructured formats, and siloed systems are the real roadblocks to delivering faster, more accurate underwriting and pricing.
Other key findings from the study include:
- Efficiency over personalisation: Just 15% of claims leaders believe greater personalisation will significantly improve customer satisfaction, compared with 41% prioritising streamlined internal processes and 39% favouring a blend of digital and human touchpoints.
- AI as a cost shield: 60% of claims leaders believe AI-led efficiency will be crucial to offset rising claim costs and premiums.
- Sandbox before scale: Insurers are adopting Generative AI cautiously, testing in sandbox environments to mitigate risks such as hallucinations, bias, and data privacy breaches.
- Proven ROI in action :
- Working with CI&T, Mitsui Sumitomo (part of Asia’s largest insurance group) saved £800,000 annually and cut quotation times by 54% through strategic modernisation.
- A leading Brazilian insurer cut SME onboarding time by 46% and achieved a 26% fraud denial rate, automating 2.2 million claims.
“AI’s success in insurance won’t be determined by how advanced the algorithms are, but by the quality and accessibility of the data that feeds them,” said Mike Young, VP Insurance Industry Growth at CI&T. “This research shows UK insurers are ready to innovate, but they need to get their data house in order first.”
With deep experience in the insurance sector , CI&T has helped insurers modernise legacy systems, improve customer journeys, and achieve measurable operational gains. Central to this is CI&T FLOW , CI&T’s enterprise-grade Generative AI platform, designed with rigorous governance and privacy safeguards so insurers can innovate without compromising sensitive data.
Download the full report here .
About CI&T
CI&T is an AI and tech acceleration partner. We help businesses navigate the complex, changing European technological landscape to unlock real, measurable impact with digital-first solutions. CI&T brings a 30-year track record of helping clients deliver accelerated impact through tech-integrated business solutions, with deep expertise across AI, strategy, customer experience, software development, cloud services, data and more. As one of the world's first digital native companies, innovation is in our DNA, helping us empower clients to win by embedding digital maturity into the heart of their operations. With over 7,400 employees across 10 countries, we combine the expertise of a global business with an entrepreneurial mindset to drive transformation at scale and turn strategy into action.
About Reuters Events
Reuters Events is one of the largest and fastest growing events companies anywhere in the world. Reuters Events serves a diverse range of industries and places a focus on the challenges and opportunities resulting from technological and strategic innovation. Our purpose is to provide senior level executives with the trusted insight and meaningful connections they need to confidently navigate change, unlock opportunity and inform their strategy. We curate world-class events and content that are high value to our customers. For more information, visit reutersevents.com . .
View source version on businesswire.com: https://www.businesswire.com/news/home/20250909909413/en/
Media contacts:
Emily Northcott, The 10 Group
emily.northcott@the10group.com
Ana Livia Jardine, PR & Communications Director, EMEA, CI&T
analivia.jardine@ciandt.com
Liam Stoker, Head of Market Insights, Reuters
liam.stoker@thomsonreuters.com
FAQ**
How does CI&T Inc Class A CINT plan to address the data quality issues identified in the recent report regarding AI adoption in the UK insurance sector?
Can you provide examples of other significant cost savings achieved by CI&T Inc Class A CINT client insurers using your AI-driven solutions, similar to the £800,000 saved by Mitsui Sumitomo?
What specific strategies is CI&T Inc Class A CINT employing to help UK insurers overcome data fragmentation and siloed systems as highlighted in your research?
In what ways does CI&T Inc Class A CINT's enterprise-grade Generative AI platform ensure data governance and privacy while enabling innovation in the insurance sector?
**MWN-AI FAQ is based on asking OpenAI questions about CI&T Inc Class A (NYSE: CINT).
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